Highly available distributed queue using replicated messages

ABSTRACT

Methods and systems for implementing a highly available distributed queue using replicated messages are disclosed. An enqueue request is received from a client at a particular queue host of a plurality of queue hosts. The enqueue request comprises a message and a replica count greater than one. One or more copies of a replication request are sent from the particular queue host to one or more additional queue hosts. The replication request comprises the message. The quantity of copies of the replication request is determined based at least in part on the replica count. An initial replica of the message is enqueued at the particular queue host. One or more additional replicas of the message are enqueued at the one or more additional queue hosts. A quantity of the one or more additional replicas is determined based at least in part on the replica count.

This application is a continuation of U.S. patent application Ser. No.16/035,405, filed Jul. 13, 2018, which is a continuation of U.S. patentapplication Ser. No. 14/752,798, filed Jun. 26, 2015, now U.S. Pat. No.10,025,628, which are hereby incorporated by reference herein in theirentirety.

BACKGROUND

Many companies and other organizations operate distributed systems thatinterconnect numerous computing systems and other computing resources tosupport their operations, such as with the computing systems beingco-located (e.g., as part of a local network) or instead located inmultiple distinct geographical locations (e.g., connected via one ormore private or public intermediate networks). For example, data centershousing significant numbers of interconnected computing systems havebecome commonplace, such as private data centers that are operated byand on behalf of a single organization and public data centers that areoperated by entities as businesses to provide computing resources tocustomers. As the scale and scope of typical distributed systems hasincreased, the tasks of provisioning, administering, and managing thecomputing resources have become increasingly complicated.

Such a distributed system may encompass numerous subsystems that work inconcert. For example, a distributed system operated by an onlinemerchant may include an ordering system that processes the generationand modification of customer orders of goods and/or services. The samedistributed system operated by the online merchant may also include aqueueing system that permits tasks to be queued. When a modification toan order is desired, a task may be queued using the queuing system forprocessing the order modification. If the queueing system is offline,aspects of the ordering system may be unavailable or broken due to thedependency between the ordering system and the queueing system. Suchdowntime may cause the online merchant to lose sales. Accordingly, it isdesirable to provide a queueing system with high availability.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates an example system environment for a highly availabledistributed queue using replicated messages, according to oneembodiment.

FIG. 2 illustrates further aspects of the example system environment fora highly available distributed queue using replicated messages,including examples of message replicas, according to one embodiment.

FIG. 3A illustrates an example of processing an enqueue request in ahighly available distributed queue using replicated messages, includingone or more load balancers forwarding the enqueue request to a queuehost, according to one embodiment.

FIG. 3B illustrates an example of processing an enqueue request in ahighly available distributed queue using replicated messages, includinga primary queue host issuing additional enqueue requests to secondaryqueue hosts using the load balancer(s), according to one embodiment.

FIG. 3C illustrates an example of processing an enqueue request in ahighly available distributed queue using replicated messages, includingthe load balancer(s) selecting the secondary queue hosts and deliveringthe additional enqueue requests, according to one embodiment.

FIG. 3D illustrates an example of processing an enqueue request in ahighly available distributed queue using replicated messages, includingthe secondary queue hosts acknowledging the enqueueing of messagereplicas, according to one embodiment.

FIG. 3E illustrates an example of processing an enqueue request in ahighly available distributed queue using replicated messages, includingthe load balancer(s) forwarding the acknowledgements to the primaryqueue host, according to one embodiment.

FIG. 3F illustrates an example of processing an enqueue request in ahighly available distributed queue using replicated messages, includingthe primary queue host sending an acknowledgement to the client usingthe load balancer(s), according to one embodiment.

FIG. 4A illustrates an example of processing a dequeue request in ahighly available distributed queue using replicated messages, includingone or more load balancers forwarding the dequeue request to a queuehost, according to one embodiment.

FIG. 4B illustrates an example of processing a dequeue request in ahighly available distributed queue using replicated messages, includingthe queue host sending a queue message to the client using the loadbalancer(s), according to one embodiment.

FIG. 5A illustrates an example of processing an acknowledgement ofmessage processing in a highly available distributed queue usingreplicated messages, including one or more load balancers forwarding theacknowledgement to a queue host, according to one embodiment.

FIG. 5B illustrates an example of processing an acknowledgement ofmessage processing in a highly available distributed queue usingreplicated messages, including the queue host forwarding theacknowledgement to other queue hosts, according to one embodiment.

FIG. 6A is a flowchart illustrating a method for implementing a highlyavailable distributed queue using replicated messages, according to oneembodiment.

FIG. 6B is a flowchart illustrating further aspects of the method forimplementing a highly available distributed queue using replicatedmessages, according to one embodiment.

FIG. 7 illustrates an example of unseeded host discovery based onmessage replication in a highly available distributed queue usingreplicated messages, according to one embodiment.

FIG. 8 illustrates an example of unseeded host discovery based onmessage processing acknowledgement in a highly available distributedqueue using replicated messages, according to one embodiment.

FIG. 9 is a flowchart illustrating a method for unseeded host discoveryin a highly available distributed queue using replicated messages,according to one embodiment.

FIG. 10 illustrates an example of queue state logging and recovery in ahighly available distributed queue using replicated messages, accordingto one embodiment.

FIG. 11 illustrates an example of log entries in a queue state log in ahighly available distributed queue using replicated messages, accordingto one embodiment.

FIG. 12 is a flowchart illustrating a method for queue state logging ina highly available distributed queue using replicated messages,according to one embodiment.

FIG. 13 illustrates an example of a computing device that may be used insome embodiments.

While embodiments are described herein by way of example for severalembodiments and illustrative drawings, those skilled in the art willrecognize that embodiments are not limited to the embodiments ordrawings described. It should be understood, that the drawings anddetailed description thereto are not intended to limit embodiments tothe particular form disclosed, but on the contrary, the intention is tocover all modifications, equivalents and alternatives falling within thespirit and scope as defined by the appended claims. The headings usedherein are for organizational purposes only and are not meant to be usedto limit the scope of the description or the claims. As used throughoutthis application, the word “may” is used in a permissive sense (i.e.,meaning “having the potential to”), rather than the mandatory sense(i.e., meaning “must”). Similarly, the words “include,” “including,” and“includes” mean “including, but not limited to.”

DETAILED DESCRIPTION OF EMBODIMENTS

Various embodiments of methods and systems for implementing a highlyavailable distributed queue using replicated messages are described. Afleet of queue hosts and one or more load balancers may implement adistributed queue system. A request to enqueue a message may specify areplica count, and replicas of the message may be stored in variousqueue hosts throughout the system to meet the replica count. When aclient acknowledges the successful processing of a message from a queue,all of the replicas may be destroyed across the various queue hosts.Replicas may be scheduled at various times to reduce the possibility ofa message being processed more than once. The load balancer(s) mayinitially select queue hosts for message replication. Host discovery maybe unseeded, and queue hosts may discover one another through the normalprocessing of queue-related tasks. For example, hosts may discover peersby receiving host identifiers in acknowledgements of replica generationand message processing. The state of a queue at a particular queue hostmay be logged for efficient recovery. In this manner, a highly availabledistributed queue may be provided for duplication-tolerant clients.

FIG. 1 illustrates an example system environment for a highly availabledistributed queue using replicated messages, according to oneembodiment. A distributed queue system 100 may include one or more loadbalancers 120 and a plurality of queue hosts (e.g., queue hosts 130A and130B through 130N). The load balancer(s) 120 and queue hosts 130A-130Nmay be communicatively coupled to one another using one or more suitablenetworks. Using a suitable load balancing scheme, the load balancer(s)120 may select particular queue hosts for performing variousqueue-related tasks such as enqueueing messages and/or dequeueingmessages. Each of the queue hosts 130A-130N may implement a queue, suchas queue 135A at queue host 130A, queue 135B at queue host 130B, andqueue 135N at queue host 130N. As will be discussed in greater detailbelow, the queues 135A-135N may store replicas of enqueued messages,such as message replicas 140A and 140B through 140N, to provide greaterfault tolerance and higher availability. The number of replicas may varyon a message-by-message basis, e.g., as specified in a request toenqueue a message. As used herein, the terms “message” and “replica” maybe used synonymously. No particular replica of a particular message(e.g., the first created replica or the earliest scheduled replica) maybe considered a “primary” replica or treated favorably over any otherreplica of that particular message, except that various replicas may bescheduled for availability at various times.

A plurality of queue clients (e.g., queue clients 110A and 110B through110N) may interact with the distributed queue system 100. For example,the queue clients 110A-110N may provide messages to be enqueued at thequeue hosts 130A-130N and/or may receive and process messages from thequeue hosts. The queue clients 110A-110N may represent various clients,client accounts, computing instances, resources, processes, or anysuitable combinations thereof. The messages may represent tasks,requests, or operations to be executed or otherwise implemented usingappropriate computing resources. For example, a message may describe orreference one or more instructions to be executed or interpreted usingsource data from one or more indicated data sources and/or storingresults in one or more indicated data destinations. A message may besent from a queue to one of the queue clients 110A-110N as a result of adequeue request issued by the recipient client, and processing a messagemay include the client performing (or causing to be performed) the oneor more tasks, requests, or operations specified in the message. In oneembodiment, the queue clients 110A-110N may communicate with the queuehosts 130A-130N using the load balancer(s) 120. In one embodiment, theidentities of the queue hosts 130A-130N may be hidden from the queueclients 110A-110N.

It is contemplated that the distributed queue system 100 may includeadditional components not shown, fewer components than shown, ordifferent combinations, configurations, or quantities of the componentsshown. For example, although three queue clients 110A, 110B, and 110Nare shown for purposes of example and illustration, it is contemplatedthat different quantities and configurations of queue clients may beused. Additionally, although three queue hosts 130A, 130B, and 130N areshown for purposes of example and illustration, it is contemplated thatdifferent quantities and configurations of queue hosts may be used.Furthermore, any suitable number and configuration of load balancers 120may be used with the distributed queue system 100.

The distributed queue system 100 may comprise one or more computingdevices, any of which may be implemented by the example computing device5000 illustrated in FIG. 13. In various embodiments, portions of thefunctionality of the queue clients 110A-110N and/or distributed queuesystem 100, including the queue hosts 130A-130N and load balancer(s)120, may be provided by the same computing device or by any suitablenumber of different computing devices. If any of the components of thedistributed queue system 100 are implemented using different computingdevices, then the components and their respective computing devices maybe communicatively coupled, e.g., via a network. Each of the illustratedcomponents may represent any combination of software and hardware usableto perform their respective functions.

In some embodiments, the queue hosts 130A-130N and/or queue clients110A-110N may be implemented as virtual compute instances or as physicalcompute instances. The virtual compute instances and/or physical computeinstances may be offered to clients, provisioned, and maintained by aprovider network that manages computational resources, memory resources,storage resources, and network resources. A virtual compute instance maycomprise one or more servers with a specified computational capacity(which may be specified by indicating the type and number of CPUs, themain memory size, and so on) and a specified software stack (e.g., aparticular version of an operating system, which may in turn run on topof a hypervisor). One or more virtual compute instances may beimplemented by the example computing device 5000 illustrated in FIG. 13.

In one embodiment, a suitable component of the distributed queue system100 may select and/or provision the queue hosts 130A-130N and/or loadbalancer(s) 120. For example, the queue hosts 130A-130N and/or loadbalancer(s) 120 may be provisioned from a suitable pool of availablecomputing instances. In one embodiment, additional computing instancesmay be added to the queue hosts 130A-130N and/or load balancer(s) 120 asneeded. In one embodiment, computing instances may be returned to thepool of available computing instances queue hosts 130A-130N and/or loadbalancer(s) 120 if the computing instances are not needed at aparticular point in time.

In one embodiment, the functionality of the distributed queue system 100may be provided to clients 110A-110N using a provider network. Forexample, the functionality of the distributed queue system 100 may bepresented to clients as a web-accessible service. A network set up by anentity such as a company or a public sector organization to provide oneor more services (such as various types of cloud-based computing orstorage) accessible via the Internet and/or other networks to adistributed set of clients may be termed a provider network. A providernetwork may include numerous data centers hosting various resourcepools, such as collections of physical and/or virtualized computerservers, storage devices, networking equipment and the like, that areused to implement and distribute the infrastructure and services offeredby the provider. The resources may, in some embodiments, be offered toclients in units called “instances,” such as virtual or physical computeinstances or storage instances. A virtual compute instance may, forexample, comprise one or more servers with a specified computationalcapacity (which may be specified by indicating the type and number ofCPUs, the main memory size, and so on) and a specified software stack(e.g., a particular version of an operating system, which may in turnrun on top of a hypervisor). A number of different types of computingdevices may be used singly or in combination to implement the resourcesof the provider network in different embodiments, including generalpurpose or special purpose computer servers, storage devices, networkdevices, and the like.

In one embodiment, operators of provider networks may implement aflexible set of resource reservation, control, and access interfaces fortheir clients. For example, a provider network may implement aprogrammatic resource reservation interface (e.g., via a web site or aset of web pages) that allows clients to learn about, select, purchaseaccess to, and/or reserve resources. In one embodiment, queue resourcesmay be reserved on behalf of clients using a client-accessible servicethat implements the distributed queue system 100. According to one suchembodiment, a distributed queue system 100 in such an environment mayreceive specifications for the various messages to be enqueued, e.g., adescription of one or more tasks and an indication of a source of inputdata to be used by the task(s). In response, the distributed queuesystem 100 may enqueue the task(s) using one or more resources of aselected resource pool of the provider network. In one embodiment, theresource pool may be automatically selected based on the anticipatedcomputational needs of the various tasks. In one embodiment, theresource pool may be selected based on a specific resource request orreservation submitted by the client.

In one embodiment, clients 110A-110N may use one or more suitableinterfaces (such as one or more web pages, an application programminginterface [API], or a command-line interface [CLI]) to provide thevarious messages to be enqueued and otherwise configure the distributedqueue system 100. In one embodiment, a client may be able to view thecurrent status of the messages using the interface(s). In oneembodiment, additional information about messages in the distributedqueue system 100 may be available via the interface(s), such as programoutput, error logs, exception logs, and so on.

FIG. 2 illustrates further aspects of the example system environment fora highly available distributed queue using replicated messages,including examples of message replicas, according to one embodiment. Asdiscussed above, the queues 135A-135N at the respective queue hosts130A-130N may store replicas of enqueued messages, such as messagereplicas 140A and 140B through 140N, to provide greater fault toleranceand higher availability. Replicas of a message may also be referred toherein as copies of a message or instances of a message. The number ofreplicas may vary on a message-by-message basis, e.g., as specified in arequest to enqueue a message. For example, the enqueue request formessage 141 may specify a replica count of three. Accordingly, the queuehosts 130A-130N may store three replicas of the message 141, e.g., inqueues 135A, 135B, and 135N. Each of the various replicas of the message141 may specify the same tasks or operations to be performed. In oneembodiment, some metadata may vary among various ones of the replicas ofthe message 141. For example, each replica of the message 141 may bescheduled for a different time, such that a particular replica may belocked or made invisible in the corresponding queue until its scheduledtime has arrived. As another example, the enqueue request for message142 may specify a replica count of two, and the queue hosts 130A-130Nmay store two replicas of the message 142. Similarly, the enqueuerequest for message 143 may specify a replica count of two, and thequeue hosts 130A-130N may store two replicas of the message 143. Theenqueue request for message 143 may specify a replica count of one, andthe queue hosts 130A-130N may store only one replica of the message 144.As also shown in the example of FIG. 2, the enqueue request for message145 may specify a replica count of two, and the queue hosts 130A-130Nmay store two replicas of the message 145. An example of the creation ofreplicated messages according to one embodiment is discussed as followswith respect to FIG. 3A through FIG. 3F.

FIG. 3A illustrates an example of processing an enqueue request in ahighly available distributed queue using replicated messages, includingone or more load balancers forwarding the enqueue request to a queuehost, according to one embodiment. A queue client 110A may send anenqueue request 310 to the load balancer(s) 120. The enqueue request 310may specify a message 146 that includes one or more tasks or operationsto be performed. The enqueue request 310 may also specify a replicacount for the message 146. The replica count may indicate the number ofreplicas of the message 146 to be stored in the queue system 100. In theexample shown in FIG. 3A, the replica count for the message 146 isthree. However, any suitable replica count may be specified. In oneembodiment, a cost assessed to the client 110A for use of the queuesystem 100 may vary based at least in part on the replica count, suchthat the cost may tend to increase as the replica count increases. Inone embodiment, the queue client 110A may use any suitable interface(s)(e.g., an application programming interface) and/or interconnection(s)to send the enqueue request 310 to the load balancer(s). Upon receipt ofthe enqueue request 310, the load balancer(s) 120 may use any suitableload balancing scheme(s) to select a queue host to receive the enqueuerequest. In one embodiment, the load balancer(s) 120 may use a “leastconnections” load balancing scheme. In the example shown in FIG. 3A, theload balancer(s) may select queue host 130B and send the enqueue request310 to the selected queue host. Upon receipt of the enqueue request 310,the queue host 130B may enqueue the message 146 specified in the enqueuerequest 310 (i.e., by placing the message 146 in the queue 135B).

FIG. 3B illustrates an example of processing an enqueue request in ahighly available distributed queue using replicated messages, includinga primary queue host issuing additional enqueue requests to secondaryqueue hosts using the load balancer(s), according to one embodiment. Thequeue host 130B that initially stores the message 146 may be referred toas the primary host with respect to message 146. The queue host 130B maybe referred to as the primary host with respect to its role in replicageneration; however, the queue host 130B may take no special role inmanagement of replicas once the operations shown in FIG. 3A through FIG.3F have been completed. To satisfy the replica count specified in theenqueue request, the primary host 130B may generate modified enqueuerequests 311, also referred to herein as replication requests. Thenumber of copies of the modified enqueue request 311 may be based atleast in part on the replica count of the original enqueue request 310.Because the specified replica count in this example is three, and theprimary host 130B has already enqueued (or will soon enqueue) onereplica of the message, the primary host may send two replicationrequests 311. In one embodiment, the primary host 130B may send themodified enqueue requests 311 to the load balancer(s) 120. The modifiedenqueue requests 311 may include an identifier of the primary host 130Bso that acknowledgements may be returned to that host 130B. In oneembodiment, the queue host 130B may send the modified enqueue requests311 before the queue host 130B has added the message 146 to the queue135B. The message 146 in the queue 135B may be referred to as an initialreplica.

In one embodiment, the modified enqueue requests 311 may include themessage 146 and a replica count of one. In one embodiment, the modifiedenqueue requests 311 may be sent using the same API (applicationprogramming interface) as the enqueue request 310 but may vary in thereplica count. In another embodiment, the modified enqueue requests 311may include the message 146 but no replica count, and the other queuehosts may treat such as a message as specifying a default replica countof one. In one embodiment, the queue host 130B may use any suitableinterface(s) (e.g., an application programming interface) and/orinterconnection(s) to send the modified enqueue requests 311 to the loadbalancer(s).

FIG. 3C illustrates an example of processing an enqueue request in ahighly available distributed queue using replicated messages, includingthe load balancer(s) selecting the secondary queue hosts and deliveringthe additional enqueue requests, according to one embodiment. Uponreceipt of the modified enqueue requests 311, the load balancer(s) 120may use any suitable load balancing scheme(s) to select one or morequeue hosts to receive the requests 311. In one embodiment, the loadbalancer(s) 120 may use a “least connections” load balancing scheme. Inthe example shown in FIG. 3C, the load balancer(s) may select queuehosts 130A and 130N, send one copy of the modified enqueue request 311to the selected queue host 130A, and send one copy of the modifiedenqueue request 311 to the selected queue host 130N. The queue hoststhat receive the modified enqueue requests 311 may be referred to hereinas secondary hosts. The queue hosts 130A and 130N may be referred to assecondary hosts with respect to their role in replica generation;however, the secondary queue hosts 130A and 130N and the primary queuehost 130B may take a similar role in management of replicas once theoperations shown in FIG. 3A through FIG. 3F have been completed. In oneembodiment, the modified enqueue requests 311 may include identifiers ofthe primary host and secondary host(s), and the identifiers may beassociated with the message 146. Upon receipt of the modified enqueuerequests 311, the queue hosts 130A and 130N may enqueue the message 146specified in the request. Because the replica count is specified as onein the modified enqueue requests 311, the secondary hosts 130A and 130Nmay take no further action to create additional replicas of the message146. In this manner, the distributed queue system 100 may store a numberof replicas of a message based at least in part on a replica countspecified in the original enqueue request for the message.

The modified enqueue requests 311 may include metadata that causes theadditional replicas of the message 146 to be scheduled (e.g., forenqueueing or delivery) at a later time than the corresponding replicaat the primary host 130B. For example, the initial replica at queue host130B may be immediately available, and each of the additional replicasmay be scheduled N minutes later than the previous replica. In oneembodiment, no two replicas of the same message may be scheduled at thesame time. In one embodiment, a message may be made unavailable in aqueue (e.g., by being locked or made invisible) until its scheduled timehas arrived. In this manner, the chances may be reduced of multiplereplicas of the same message being dequeued and processedsimultaneously.

In one embodiment, the load balancer(s) 120 may send multiple copies ofthe modified enqueue request 311 to a particular one of the queue hosts130A-130N, and the recipient queue host may enqueue multiple copies ofthe message accordingly. In one embodiment, the load balancer(s) 120 maysend one or more copies of the modified enqueue request 311 back to theprimary host 130B. If all of the replication requests are directed backto the primary host 130B, then the primary host may indicate to theclient 110B that the enqueue request 310 has failed. Replicationrequests may be sent through the load balancer(s) 120 when the primaryhost has not discovered a sufficient number of secondary hosts to meetthe replica count. In one embodiment, one or more replication requestsmay be sent directly from one queue host to another queue host, e.g., ifthe recipient host has previously been discovered by the sending host.At initialization, a queue host may know of no other queue hosts, anddiscovery of other queue hosts may occur through an unseeded discoveryprocess using normal or routine queue-related tasks. Unseeded discoveryof hosts is discussed with reference to FIG. 7 through FIG. 9.

FIG. 3D illustrates an example of processing an enqueue request in ahighly available distributed queue using replicated messages, includingthe secondary queue hosts acknowledging the enqueueing of messagereplicas, according to one embodiment. After the secondary hosts 130Aand 130N have enqueued the message 146 responsive to the replicationrequest 311, the secondary hosts may acknowledge that the message 146was successfully enqueued. Accordingly, the queue host 130A may send anacknowledgement 312A to the load balancer(s) 120, and the queue host130N may send an acknowledgement 312N to the load balancer(s) 120. Theacknowledgement 312A may include a host identifier of the queue host130A, and the acknowledgement 312N may include a host identifier of thequeue host 130N. The host identifiers may include any suitableinformation to identify the respective hosts, including a networkaddress or hostname that is unique within the provider network and/ordistributed queue system 100. In one embodiment, the acknowledgements312A and 312N may be addressed to the primary host 130B based on a hostidentifier of the primary host that was included in the replicationrequests.

FIG. 3E illustrates an example of processing an enqueue request in ahighly available distributed queue using replicated messages, includingthe load balancer(s) forwarding the acknowledgements to the primaryqueue host, according to one embodiment. As discussed above, thesecondary host 130A may send an acknowledgement 312A of messageenqueueing to the load balancer(s) 120, and the secondary host 130N maysend an acknowledgement 312N of message enqueueing to the loadbalancer(s) 120. As shown in FIG. 3E, the load balancer(s) may forwardthese acknowledgements 312A and 312N to the primary host 130B. In thismanner, the primary host 130B may verify that the proper number ofreplicas have been created (in accordance with the replica count in theenqueue request 310). The primary host 310B may also obtain the hostidentifiers of the secondary hosts 310A and 310N as specified in theacknowledgements 312A and 312N. In one embodiment, the identifiers ofthe secondary hosts 310A and 310N may be associated with the message 146at the primary host 310B.

FIG. 3F illustrates an example of processing an enqueue request in ahighly available distributed queue using replicated messages, includingthe primary queue host sending an acknowledgement to the client usingthe load balancer(s), according to one embodiment. The primary host 130Bmay send an acknowledgement 313 that indicates that the message 146 wassuccessfully enqueued with the requested number of replicas. Theacknowledgement 313 may include host identifiers of host 130A, 130B, and130N, i.e., the hosts that store the replicas of the message 146 in thisexample. In one embodiment, the host identifiers in the acknowledgementmay be encrypted or encoded so that entities outside the distributedqueue system 100 (e.g., queue clients 110A-110N) are prevented fromidentifying or initiating direct communication with the hosts. Theprimary host may send the acknowledgement 313 to the load balancer(s)120, and the load balancer(s) 120 may forward the acknowledgement 313 tothe client 110A.

FIG. 4A illustrates an example of processing a dequeue request in ahighly available distributed queue using replicated messages, includingone or more load balancers forwarding the dequeue request to a queuehost, according to one embodiment. A queue client 110B may send adequeue request 410 to the load balancer(s) 120. The dequeue request 410may represent a request for the client to receive a message from thequeue system 100, e.g., a message from one of the queues 135A-135N. Inone embodiment, the dequeue request 410 may specify a type or categoryof message to be returned or may otherwise restrict the type of messageto be returned. For example, if the queue system 100 is being used by anordering system of an online merchant to enqueue order-processing tasksbut is also being used by one or more other systems to enqueue othertypes of tasks, the dequeue request may specify one of theorder-processing messages. In one embodiment, the queue client 110B mayuse any suitable interface(s) (e.g., an application programminginterface) and/or interconnection(s) to send the dequeue request to theload balancer(s) 120. Upon receipt of the dequeue request 410, the loadbalancer(s) 120 may use any suitable load balancing scheme(s) to selecta queue host to receive the enqueue request. In one embodiment, the loadbalancer(s) 120 may use a “least connections” load balancing scheme. Inthe example shown in FIG. 4A, the load balancer(s) may select queue host130B and send the dequeue request 410 to the selected queue host.

FIG. 4B illustrates an example of processing a dequeue request in ahighly available distributed queue using replicated messages, includingthe queue host sending a queue message to the client using the loadbalancer(s), according to one embodiment. Upon receipt of the dequeuerequest 410, the queue host 130B may take the next available messagefrom the queue 135B and return it to the requesting client 110B. In theexample shown in FIG. 4B, the next available message in the queue 135Bis message 146. When the message 146 is sent to the load balancer(s) 120and forwarded to the queue client 110B, the message 146 may be placed ina package 411 with the host identifiers of all the queue hosts 130A,130B, and 130N that store replicas of the message 146. The hostidentifiers may be included in the package 411 so that the replicas maybe destroyed at all the hosts 130A-130N after successful processing ofthe message by the client 110B. In one embodiment, the message 146 maybe made unavailable in the queue 135B (e.g., by being locked or madeinvisible) after being sent to the client 110B. In one embodiment, themessage 146 may remain in the queue and be rescheduled for availabilityat a later time (e.g., N minutes from the current time) in case theclient 110B fails to process the message successfully.

FIG. 5A illustrates an example of processing an acknowledgement ofmessage processing in a highly available distributed queue usingreplicated messages, including one or more load balancers forwarding theacknowledgement to a queue host, according to one embodiment. The queueclient 110B may send an acknowledgement 510 to the load balancer(s) 120.The acknowledgement 510 may indicate that the message referenced in theacknowledgement was successfully processed by the client 110B. Theacknowledgement 510 may also include the host identifiers of all thequeue hosts 130A, 130B, and 130N that store replicas of the message 146.In one embodiment, the queue client 110B may use any suitableinterface(s) (e.g., an application programming interface) and/orinterconnection(s) to send the acknowledgement 510 to the loadbalancer(s).

Upon receipt of the acknowledgement 510, the load balancer(s) 120 mayuse any suitable load balancing scheme(s) to select a queue host toreceive the acknowledgement. In one embodiment, the load balancer(s) 120may use a “least connections” load balancing scheme. In one embodiment,the load balancer(s) 120 may select a recipient from among the hostsindicated by the host identifiers in the acknowledgement 510. In anotherembodiment, the load balancer(s) 120 may select a recipient from among abroader set of hosts, potentially including hosts that do not storereplicas of the message 146. In the example shown in FIG. 5A, the loadbalancer(s) may select queue host 130A and forward the acknowledgement510 to the selected queue host. Upon receipt of the acknowledgement 510,the queue host 130A may destroy its replica (if it stores one) of themessage 146. As used herein, destroying the message may include removingthe message from the queue 135A, marking the message for deletion, orotherwise making the message unavailable to be delivered to a client.

FIG. 5B illustrates an example of processing an acknowledgement ofmessage processing in a highly available distributed queue usingreplicated messages, including the queue host forwarding theacknowledgement to other queue hosts, according to one embodiment. Asdiscussed above, the acknowledgement 510 may include the hostidentifiers of all the queue hosts 130A, 130B, and 130N that storereplicas of the message 146. Using the host identifiers of the otherqueue hosts 130B and 130N, the queue host 130A may directly sendacknowledgements 511 to the other hosts to request destruction of theother replicas of the message 146. Upon receipt of the acknowledgements511, the queue hosts 130B and 130N may destroy their respective replicasof the message 146. In one embodiment, destruction of all replicas isnot guaranteed by the queue system 100, and clients 110A-110N areexpected to be tolerant of processing replicas of the same message.

FIG. 6A is a flowchart illustrating a method for implementing a highlyavailable distributed queue using replicated messages, according to oneembodiment. As shown in 605, an enqueue request may be received from aclient. The enqueue request may be received at a particular queue hostof a plurality of queue hosts. In one embodiment, the enqueue requestmay be received from the client by one or more load balancers and thenforwarded to the particular queue host. The particular queue host may beselected from the plurality of queue hosts by the one or more loadbalancers based at least in part on a load balancing scheme. The enqueuerequest may include a message that specifies one or more tasks,instructions, or operations to be performed. The enqueue request mayinclude a replica count, e.g., a representation of a number greater thanone.

As shown in 610, one or more copies of a replication request may be sentfrom the particular queue host to one or more additional queue hosts. Atleast one of the additional queue hosts may be selected from theplurality of queue hosts by the one or more load balancers based atleast in part on a load balancing scheme. The replication request mayinclude a copy of the message. The replication request may also includea reduced replica count, e.g., one. A quantity of the copies of thereplication request may be determined based at least in part on thereplica count of the enqueue request. As shown in 615, a replica of themessage (also referred to herein as the initial replica) may be enqueuedby placing it in a queue at the particular queue host. As shown in 620,one or more additional replicas of the message may be enqueued at theone or more additional queue hosts. A quantity of the one or morereplicas may be determined based at least in part on the replica countof the enqueue request, e.g., such that the requested replica count issatisfied using the plurality of queue hosts. Various ones of thereplicas may be scheduled for availability at different points in time.In one embodiment, the first replica to be enqueued (e.g., at theparticular queue host) may be scheduled for immediate availability, andeach of the additional replicas may be scheduled at increasingly latertimes. For example, each subsequent replica may be scheduled foravailability at approximately N minutes after the previously createdreplica. Any suitable technique may be used to schedule the replicas,including the use of metadata in the replication requests as generatedby the particular queue host.

As shown in 625, one or more acknowledgements of enqueueing theadditional replicas may be received at the particular queue host fromthe one or more additional queue hosts. In one embodiment, the one ormore acknowledgements may include host identifiers of the one or moreadditional queue hosts. The host identifiers of the one or moreadditional queue hosts may be recorded or otherwise stored in a hostavailability data structure at the particular queue host. As shown in630, an acknowledgement of enqueueing the replicas may be sent to theclient. The acknowledgement may be sent from the particular queue hostto the client using the one or more load balancers. The acknowledgementmay include a host identifier of the particular queue host and the hostidentifiers of the one or more additional queue hosts.

FIG. 6B is a flowchart illustrating further aspects of the method forimplementing a highly available distributed queue using replicatedmessages, according to one embodiment. As shown in 635, a dequeuerequest may be received from a client. The dequeue request may bereceived at a particular queue host of a plurality of queue hosts. Inone embodiment, the dequeue request may be received from the client byone or more load balancers and then forwarded to the particular queuehost. The particular queue host may be selected by the one or more loadbalancers to receive the dequeue request based at least in part on aload balancing scheme.

As shown in 640, a message may be dequeued at the particular queue hostand sent to the client that issued the dequeue request. The message maybe sent from the particular queue host to the client using the one ormore load balancers. The message may include a host identifier of theparticular queue host and the host identifiers of the one or moreadditional queue hosts that host the replicas of the message. After themessage is dequeued but before the client acknowledges successfulprocessing of the message, the message may remain in the queue but belocked, made invisible, or otherwise made unavailable for immediatedelivery to clients. In one embodiment, the dequeued message may remainin the queue and be rescheduled for availability at a later time (e.g.,in five or ten minutes) in case the client fails to process the messagesuccessfully.

As shown in 645, an acknowledgement of processing the message may bereceived from the client. The acknowledgement of processing the messagemay include the host identifier of the particular queue host and thehost identifiers of the one or more additional queue hosts that host thereplicas of the message. The acknowledgement may be received using theone or more load balancers and forwarded to a suitable one of the queuehosts, e.g., using a load balancing scheme.

As shown in 650, the acknowledgement of processing the message may beforwarded to the particular queue host and also to the one or moreadditional queue hosts that host the replicas of the message. Theparticular queue host and the one or more additional queue hosts may beidentified based at least in part on the host identifiers in theacknowledgement. As shown in 655, the message may be destroyed at theparticular queue host and at the one or more additional queue hosts inresponse to receiving the acknowledgement of processing the message.

FIG. 7 illustrates an example of unseeded host discovery based onmessage replication in a highly available distributed queue usingreplicated messages, according to one embodiment. Queue hosts 130A-130Nmay identify themselves to the load balancer(s) 120, e.g., atinitialization. At initialization, a queue host may know of no otherqueue hosts, and discovery of other queue hosts may occur through anunseeded discovery process using normal queue-related tasks that aresent through the load balancer(s) 120. For example, hosts may discoverpeers by receiving host identifiers in acknowledgements of replicageneration and message processing.

As discussed above, the secondary host 130A may send an acknowledgement312A of message enqueueing to the load balancer(s) 120, and thesecondary host 130N may send an acknowledgement 312N of messageenqueueing to the load balancer(s) 120. As shown in FIG. 7, the loadbalancer(s) may forward these acknowledgements 312A and 312N to theprimary host 130B. In this manner, the primary host 130B may verify thatthe proper number of replicas have been created (in accordance with thereplica count in the enqueue request 310). The primary host 310B mayalso obtain the host identifiers of the secondary hosts 310A and 310N asspecified in the acknowledgements 312A and 312N. The host identifiersmay include any suitable information to identify the respective hosts,including a network address or hostname that is unique within theprovider network and/or distributed queue system 100.

In one embodiment, any of the queue hosts 130A-130N may maintain a hostavailability data structure (e.g., a table or list) that includes one ormore host identifiers of other queue hosts. For example, the queue host130B may maintain a host availability data structure 150B. The queuehost 130B may populate the host availability data structure 150B with anentry 151A that includes the host identifier for the queue host 130A andan entry 151N that includes the host identifier for the queue host 130A.In one embodiment, the entries 151A-151N may also indicate anavailability of the corresponding host, e.g., for performingqueue-related tasks such as enqueueing replicas of messages. For atleast some replication requests, the queue host 130B may bypass the loadbalancer(s) 120 and use the host identifiers in the host availabilitydata structure 150B to select recipients of replication requests.

FIG. 8 illustrates an example of unseeded host discovery based onmessage processing acknowledgement in a highly available distributedqueue using replicated messages, according to one embodiment. Asdiscussed above, the queue client 110B may send an acknowledgement 510to the load balancer(s) 120. The acknowledgement 510 may indicate thatthe message referenced in the acknowledgement was successfully processedby the client 110B. The acknowledgement 510 may also include the hostidentifiers of all the queue hosts 130A, 130B, and 130N that storereplicas of the message 146. In one embodiment, the host identifiers inthe acknowledgement may be encrypted or encoded so that entities outsidethe distributed queue system 100 (e.g., queue clients 110A-110N) areprevented from identifying or initiating direct communication with thehosts.

Upon selection by the load balancer(s) 120 and receipt of theacknowledgement 510, the queue host 130A may destroy its replica of themessage 146. Using the host identifiers of the other hosts 130B and 130Nthat store replicas of the message 146, the queue host 130A may directlysend acknowledgements to request destruction of the remaining replicas.Additionally, the queue host 130A may populate a host availability datastructure 150A with an entry 151B that includes the host identifier forthe queue host 130B and an entry 151N that includes the host identifierfor the queue host 130A. In one embodiment, the entries 151B-151N mayalso indicate an availability of the corresponding host, e.g., forperforming queue-related tasks such as enqueueing replicas of messages.For at least some replication requests, the queue host 130A may bypassthe load balancer(s) 120 and use the host identifiers in the hostavailability data structure 150A to select recipients of replicationrequests.

FIG. 9 is a flowchart illustrating a method for unseeded host discoveryin a highly available distributed queue using replicated messages,according to one embodiment. A particular queue host of a plurality ofqueue hosts may receive an enqueue request for a message from a client.The message may specify one or more tasks, instructions, or operationsto be performed. The enqueue request may also include a replica count,e.g., a number greater than one. As shown in 905, one or more copies ofa replication request may be sent from the particular queue host to oneor more additional queue hosts. At least one of the additional queuehosts may be selected from the plurality of queue hosts by the one ormore load balancers based at least in part on a load balancing scheme.The replication request may include the message. The replication requestmay also include a reduced replica count, e.g., one. A quantity of thecopies of the replication request may be determined based at least inpart on the replica count of the enqueue request.

As shown in 910, a replica of the message may be enqueued in a queue atthe particular queue host. As shown in 915, one or more additionalreplicas of the message may be enqueued at the one or more additionalqueue hosts. A quantity of the one or more replicas may be determinedbased at least in part on the replica count of the enqueue request,e.g., such that the requested replica count is satisfied using theplurality of queue hosts.

Various ones of the replicas may be scheduled for availability atdifferent points in time. In one embodiment, the first replica to beenqueued (e.g., at the particular queue host) may be scheduled forimmediate availability, and each of the additional replicas may bescheduled at increasingly later times. For example, each subsequentreplica may be scheduled for availability at approximately N minutesafter the previously created replica. Any suitable technique may be usedto schedule the replicas, including the use of metadata in thereplication requests as generated by the particular queue host

As shown in 920, one or more acknowledgements of enqueueing the replicasmay be received at the particular queue host from the one or moreadditional queue hosts. In one embodiment, the one or moreacknowledgements may include host identifiers of the one or moreadditional queue hosts. As shown in 925, recording one or more of thehost identifiers of the one or more additional queue hosts in a hostavailability data structure at the particular queue host. Whenadditional replication requests (e.g., for newer messages) are sent fromthe particular queue host, the host availability data structure may bereferenced to select and/or identify one or more other queue hosts tostore replicas. Similarly, the host availability data structure may bepopulated with host identifiers found in other queue-relatedcommunications, such as acknowledgements of successful messageprocessing.

The state of a queue at a particular queue host may be logged, and theresulting log may be used for efficient recovery of the state of thequeue. FIG. 10 illustrates an example of queue state logging andrecovery in a highly available distributed queue using replicatedmessages, according to one embodiment. In one embodiment, each of thequeue hosts 130A-130N may include a queue state logging functionalitythat stores and/or maintains a log of the local queue state. As shown inFIG. 10, for example, the queue host 130A may include a loggingfunctionality 160A that maintains a log 165A, the queue host 130B mayinclude a logging functionality 160B that maintains a log 165B, and thequeue host 130N may include a logging functionality 160N that maintainsa log 165N. Any suitable storage technologies may be used to implementthe logging functionality 160A-160N. In one embodiment, the loggingfunctionality 160A-160N at a corresponding queue host 130A-130N maycapture various queue-related events and append corresponding logentries to the local log 165A-165N. In one embodiment, a log 165A-165Nmay be implemented as a text file, and each entry may correspond to asingle line in the file. In one embodiment, the logs 165A-165N may bestored using any suitable storage resources accessible to thecorresponding queue host, such as a locally accessible hard disk.

Additionally, each of the queue hosts 130A-130N may include a queuestate recovery functionality that can restore the state of the localqueue using the log for the corresponding queue host. As shown in FIG.10, for example, the queue host 130A may include a queue state recoveryfunctionality 170A that can restore the queue 135A based on the log165A, the queue host 130B may include a queue state recoveryfunctionality 170B that can restore the queue 135B based on the log165B, and the queue host 130N may include a queue state recoveryfunctionality 170N that can restore the queue 135N based on the log165N. Restoring the state of a queue may include restoring the orderedset of message replicas (such as replicas 140A-140N) found in the queueat the point in time to which the queue is restored. Restoration of thestate of a queue may be desired, for example, after a failure at thecorresponding queue host.

FIG. 11 illustrates an example of log entries in a queue state log in ahighly available distributed queue using replicated messages, accordingto one embodiment. At a queue host such as queue host 130A, the queue135A may store a set of messages such as messages 141, 142, and 145. Thelogging functionality 160A may maintain a log 165A and store log entriescorresponding to events that relate to the queue 135A. In oneembodiment, the log entries may correspond to events that add messagesto the queue and/or remove messages from the queue. In other words, logentries may be created based on receipt by a queue host of an enqueuerequest (including a replication request) and/or an acknowledgement ofmessage processing by a client. In one embodiment, log entries may notbe created for dequeue events because dequeued messages may remain inthe queue (but be unavailable to other clients) until they are destroyedupon acknowledgement of successful message processing. For example, thelog 165A may include a log entry 171 representing an enqueued messageand a log entry 173 representing a message removed from the queue inresponse to an acknowledgement. The log entry 171 may include anindication of the enqueue operation (e.g., ENQ) and a reference to oridentification of the message that was enqueued in the operation. Thelog entry 173 may include an indication of the acknowledgement operation(e.g., ACK) and a reference to or identification of the message that wasdestroyed or remove from the queue in the operation. The log entries 171and 173 may also include approximate timestamps of the operation, listsof hosts for replicas of the affected message, and any other suitablemetadata.

In one embodiment, the queue host 130A and/or logging functionality 160Amay track the items in the queue 135A using a cursor 180. The cursor 180may represent a position in the queue 135A and/or a message in the queueat a particular time. For the first message added to the queue 135A, thecursor 180 may be positioned on that item. For each log entry thatcorresponds to an operation that alters the contents of the queue 135A(e.g., the log entries 171 and 173), the logging functionality 160A mayalso store a log entry that indicates the current position of thecursor. For example, when the log entry 171 is stored to indicate anenqueued message, another log entry 172 may be stored to indicate themessage in the queue at which the cursor is currently positioned.Similarly, when the log entry 173 is stored to indicate a destroyedmessage, another log entry 174 may be stored to indicate the message inthe queue at which the cursor is currently positioned. After each logentry for an operation that alters the contents of the queue and therelated log entry for the cursor position, the cursor may be advanced,e.g., by one message. If the cursor is positioned on a message that isdestroyed by an acknowledgement, the cursor may be advanced, e.g., byone message. If the cursor is advanced beyond the final message in thequeue and/or back to the beginning, the cursor may be considered reset,and a log entry 175 corresponding to the reset may be added to the log165A. In one embodiment, the log entry 175 for the cursor reset may be ablank line. The log 165A may include multiple log entries representingcursor resets.

When the queue state recovery functionality 170A seeks to restore thestate of the queue 135A, the recovery functionality may begin at the endof the log 165A and scan backwards to find the next-to-last (orpenultimate) log entry for a cursor reset. The queue state recoveryfunctionality 170A may replay the entries in the log 165A (e.g., byadding messages to the queue 135A and/or removing messages from thequeue) from that log entry for the cursor reset to the end of the log.In this manner, the state of a queue may be restored efficiently usingonly a portion of the log.

FIG. 12 is a flowchart illustrating a method for queue state logging ina highly available distributed queue using replicated messages,according to one embodiment. At a particular queue host, a plurality ofenqueue requests and a plurality of acknowledgements of messageprocessing may be received over time. Enqueue requests andacknowledgements of message processing may collectively be referred toherein as mutating operations. As shown in 1205, a mutating operationmay be performed on the queue at a particular queue host, e.g., to add amessage to the local queue or remove a message from the local queue.

As shown in 1210, a log entry corresponding to the mutating operationmay be appended to the log. As shown in 1215, a log entry indicating thecurrent position of a cursor in the queue may also be appended to thelog. As shown in 1220, the position of the cursor may be advanced, e.g.,by moving the cursor to the next message in the queue. As shown in 1225,it may be determined if the cursor has been reset by being advanced tothe end of the queue. If so, then as shown in 1230, a log entryindicating a cursor reset may be appended to the log. The method mayreturn to the operation shown in 1205 for additional logging.

Illustrative Computer System

In at least some embodiments, a computer system that implements aportion or all of one or more of the technologies described herein mayinclude a general-purpose computer system that includes or is configuredto access one or more computer-readable media. FIG. 13 illustrates sucha general-purpose computing device 5000. In the illustrated embodiment,computing device 5000 includes one or more processors 5010 (e.g.,processors 5010A and 5010B through 5010N) coupled to a system memory5020 via an input/output (I/O) interface 5030. Computing device 5000further includes a network interface 5040 coupled to I/O interface 5030.

In various embodiments, computing device 5000 may be a uniprocessorsystem including one processor 5010 or a multiprocessor system includingseveral processors 5010 (e.g., two, four, eight, or another suitablenumber). Processors 5010 may include any suitable processors capable ofexecuting instructions. For example, in various embodiments, processors5010 may be general-purpose or embedded processors implementing any of avariety of instruction set architectures (ISAs), such as the x86,PowerPC, SPARC, or MIPS ISAs, or any other suitable ISA. Inmultiprocessor systems, each of processors 5010 may commonly, but notnecessarily, implement the same ISA.

System memory 5020 may be configured to store program instructions anddata accessible by processor(s) 5010. In various embodiments, systemmemory 5020 may be implemented using any suitable memory technology,such as static random access memory (SRAM), synchronous dynamic RAM(SDRAM), nonvolatile/Flash-type memory, or any other type of memory. Inthe illustrated embodiment, program instructions and data implementingone or more desired functions, such as those methods, techniques, anddata described above, are shown stored within system memory 5020 as code(i.e., program instructions) 5025 and data 5026.

In one embodiment, I/O interface 5030 may be configured to coordinateI/O traffic between processor 5010, system memory 5020, and anyperipheral devices in the device, including network interface 5040 orother peripheral interfaces. In some embodiments, I/O interface 5030 mayperform any necessary protocol, timing or other data transformations toconvert data signals from one component (e.g., system memory 5020) intoa format suitable for use by another component (e.g., processor 5010).In some embodiments, I/O interface 5030 may include support for devicesattached through various types of peripheral buses, such as a variant ofthe Peripheral Component Interconnect (PCI) bus standard or theUniversal Serial Bus (USB) standard, for example. In some embodiments,the function of I/O interface 5030 may be split into two or moreseparate components, such as a north bridge and a south bridge, forexample. Also, in some embodiments some or all of the functionality ofI/O interface 5030, such as an interface to system memory 5020, may beincorporated directly into processor 5010.

Network interface 5040 may be configured to allow data to be exchangedbetween computing device 5000 and other devices 5060 attached to anetwork or networks 5050, such as other computer systems or devices asillustrated in FIG. 1, for example. In various embodiments, networkinterface 5040 may support communication via any suitable wired orwireless general data networks, such as types of Ethernet network, forexample. Additionally, network interface 5040 may support communicationvia telecommunications/telephony networks such as analog voice networksor digital fiber communications networks, via storage area networks suchas Fibre Channel SANs, or via any other suitable type of network and/orprotocol.

In some embodiments, system memory 5020 may be one embodiment of acomputer-readable (i.e., computer-accessible) medium configured to storeprogram instructions and data as described above for implementingembodiments of the corresponding methods and apparatus. However, inother embodiments, program instructions and/or data may be received,sent or stored upon different types of computer-readable media.Generally speaking, a computer-readable medium may includenon-transitory storage media or memory media such as magnetic or opticalmedia, e.g., disk or DVD/CD coupled to computing device 5000 via I/Ointerface 5030. A non-transitory computer-readable storage medium mayalso include any volatile or non-volatile media such as RAM (e.g. SDRAM,DDR SDRAM, RDRAM, SRAM, etc.), ROM, etc, that may be included in someembodiments of computing device 5000 as system memory 5020 or anothertype of memory. Further, a computer-readable medium may includetransmission media or signals such as electrical, electromagnetic, ordigital signals, conveyed via a communication medium such as a networkand/or a wireless link, such as may be implemented via network interface5040. Portions or all of multiple computing devices such as thatillustrated in FIG. 13 may be used to implement the describedfunctionality in various embodiments; for example, software componentsrunning on a variety of different devices and servers may collaborate toprovide the functionality. In some embodiments, portions of thedescribed functionality may be implemented using storage devices,network devices, or special-purpose computer systems, in addition to orinstead of being implemented using general-purpose computer systems. Theterm “computing device,” as used herein, refers to at least all thesetypes of devices, and is not limited to these types of devices.

Various embodiments may further include receiving, sending, or storinginstructions and/or data implemented in accordance with the foregoingdescription upon a computer-readable medium. Generally speaking, acomputer-readable medium may include storage media or memory media suchas magnetic or optical media, e.g., disk or DVD/CD-ROM, volatile ornon-volatile media such as RAM (e.g. SDRAM, DDR, RDRAM, SRAM, etc.),ROM, etc. In some embodiments, a computer-readable medium may alsoinclude transmission media or signals such as electrical,electromagnetic, or digital signals, conveyed via a communication mediumsuch as network and/or a wireless link.

The various methods as illustrated in the Figures and described hereinrepresent exemplary embodiments of methods. The methods may beimplemented in software, hardware, or a combination thereof. In variousof the methods, the order of the steps may be changed, and variouselements may be added, reordered, combined, omitted, modified, etc.Various of the steps may be performed automatically (e.g., without beingdirectly prompted by user input) and/or programmatically (e.g.,according to program instructions).

Various modifications and changes may be made as would be obvious to aperson skilled in the art having the benefit of this disclosure. It isintended to embrace all such modifications and changes and, accordingly,the above description is to be regarded in an illustrative rather than arestrictive sense.

1.-20. (canceled)
 21. A system, comprising: one or more processors andone or more memories to store computer-executable instructions that,when executed, cause the one or more processors to: send, from a firstqueue host of a distributed queue system to one or more additional queuehosts of the distributed queue system, a replication request for amessage; enqueue, by the first queue host, a first replica of themessage; receive, by the first queue host from the one or moreadditional queue hosts, one or more acknowledgements of enqueuing one ormore additional replicas of the message at the one or more additionalqueue hosts, wherein the one or more acknowledgements comprise one ormore host identifiers of the one or more additional queue hosts; andstore, by the first queue host, the one or more host identifiers in ahost availability data structure associated with the first queue host.22. The system as recited in claim 21, wherein the one or moreadditional queue hosts are selected by one or more load balancers forreceipt of the replication request.
 23. The system as recited in claim21, wherein the one or more memories store additionalcomputer-executable instructions that, when executed, cause the one ormore processors to: receive, by the first queue host from a loadbalancer, an enqueue request for the message, wherein the enqueuerequest comprises a replica count, and wherein the one or moreadditional queue hosts are selected based at least in part on thereplica count.
 24. The system as recited in claim 23, wherein the one ormore memories store additional computer-executable instructions that,when executed, cause the one or more processors to: send, by the firstqueue host to the load balancer, an acknowledgement of the enqueuerequest that comprises the one or more host identifiers.
 25. The systemas recited in claim 21, wherein the one or more memories storeadditional computer-executable instructions that, when executed, causethe one or more processors to: select, by the first queue host, at leastone of the additional queue hosts using the host availability datastructure; and send, from the first queue host to the at least one ofthe additional queue hosts, an additional replication request for anadditional message.
 26. The system as recited in claim 25, wherein theone or more additional queue hosts are selected by one or more loadbalancers for receipt of the replication request, and wherein the one ormore load balancers are bypassed in selecting the at least one of theadditional queue hosts for receipt of the additional replicationrequest.
 27. A computer-implemented method, comprising: sending, from afirst queue host of a distributed queue system to one or more additionalqueue hosts of the distributed queue system, a replication request for amessage; enqueuing, by the first queue host, a first replica of themessage; receiving, by the first queue host from the one or moreadditional queue hosts, one or more acknowledgements of enqueuing one ormore additional replicas of the message at the one or more additionalqueue hosts, wherein the one or more acknowledgements comprise one ormore host identifiers of the one or more additional queue hosts; andstoring, by the first queue host, the one or more host identifiers in ahost availability data structure associated with the first queue host.28. The method as recited in claim 27, wherein the one or moreadditional queue hosts are selected by one or more load balancers forreceipt of the replication request.
 29. The method as recited in claim27, further comprising: receiving, by the first queue host from a loadbalancer, an enqueue request for the message, wherein the enqueuerequest comprises a replica count, and wherein the one or moreadditional queue hosts are selected based at least in part on thereplica count.
 30. The method as recited in claim 29, furthercomprising: sending, by the first queue host to the load balancer, anacknowledgement of the enqueue request that comprises the one or morehost identifiers.
 31. The method as recited in claim 27, furthercomprising: selecting, by the first queue host, at least one of theadditional queue hosts using the host availability data structure; andsending, from the first queue host to the at least one of the additionalqueue hosts, an additional replication request for an additionalmessage.
 32. The method as recited in claim 31, wherein the one or moreadditional queue hosts are selected by one or more load balancers forreceipt of the replication request, and wherein the one or more loadbalancers are bypassed in selecting the at least one of the additionalqueue hosts for receipt of the additional replication request.
 33. Themethod as recited in claim 27, wherein the host availability datastructure comprises data indicative of an availability of the one ormore additional queue hosts for performing enqueuing tasks.
 34. One ormore non-transitory computer-readable storage media storing programinstructions that, when executed on or across one or more processors,perform: sending, from a first queue host of a distributed queue systemto one or more additional queue hosts of the distributed queue system, areplication request for a message; enqueuing, by the first queue host, afirst replica of the message; receiving, by the first queue host fromthe one or more additional queue hosts, one or more acknowledgements ofenqueuing one or more additional replicas of the message at the one ormore additional queue hosts, wherein the one or more acknowledgementscomprise one or more host identifiers of the one or more additionalqueue hosts; and storing, by the first queue host, the one or more hostidentifiers in a host availability data structure associated with thefirst queue host.
 35. The one or more non-transitory computer-readablestorage media as recited in claim 34, wherein the one or more additionalqueue hosts are selected by one or more load balancers for receipt ofthe replication request.
 36. The one or more non-transitorycomputer-readable storage media as recited in claim 34, furthercomprising additional program instructions that, when executed on oracross the one or more processors, perform: receiving, by the firstqueue host from a load balancer, an enqueue request for the message,wherein the enqueue request comprises a replica count, and wherein theone or more additional queue hosts are selected based at least in parton the replica count.
 37. The one or more non-transitorycomputer-readable storage media as recited in claim 36, furthercomprising additional program instructions that, when executed on oracross the one or more processors, perform: sending, by the first queuehost to the load balancer, an acknowledgement of the enqueue requestthat comprises the one or more host identifiers.
 38. The one or morenon-transitory computer-readable storage media as recited in claim 34,further comprising additional program instructions that, when executedon or across the one or more processors, perform: selecting, by thefirst queue host, at least one of the additional queue hosts using thehost availability data structure; and sending, from the first queue hostto the at least one of the additional queue hosts, an additionalreplication request for an additional message.
 39. The one or morenon-transitory computer-readable storage media as recited in claim 38,wherein the one or more additional queue hosts are selected by one ormore load balancers for receipt of the replication request, and whereinthe one or more load balancers are bypassed in selecting the at leastone of the additional queue hosts for receipt of the additionalreplication request.
 40. The one or more non-transitorycomputer-readable storage media as recited in claim 34, wherein the hostavailability data structure comprises data indicative of an availabilityof the one or more additional queue hosts for performing enqueuingtasks.